IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery

• URL: http://arxiv.org/abs/2504.16728v1
• Date: Wed, 23 Apr 2025 14:01:36 GMT
• Title: IRIS: Interactive Research Ideation System for Accelerating Scientific Discovery
• Authors: Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, Arman Cohan,
• Abstract summary: IRIS is an open-source platform designed for researchers to leverage large language models (LLMs)-assisted scientific ideation.<n>IRIS incorporates innovative features to enhance ideation, including adaptive test-time compute expansion via Monte Carlo Tree Search (MCTS), fine-grained feedback mechanism, and query-based literature synthesis.<n>We conduct a user study with researchers across diverse disciplines, validating the effectiveness of our system in enhancing ideation.
• Score: 27.218896203253987
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rapid advancement in capabilities of large language models (LLMs) raises a pivotal question: How can LLMs accelerate scientific discovery? This work tackles the crucial first stage of research, generating novel hypotheses. While recent work on automated hypothesis generation focuses on multi-agent frameworks and extending test-time compute, none of the approaches effectively incorporate transparency and steerability through a synergistic Human-in-the-loop (HITL) approach. To address this gap, we introduce IRIS: Interactive Research Ideation System, an open-source platform designed for researchers to leverage LLM-assisted scientific ideation. IRIS incorporates innovative features to enhance ideation, including adaptive test-time compute expansion via Monte Carlo Tree Search (MCTS), fine-grained feedback mechanism, and query-based literature synthesis. Designed to empower researchers with greater control and insight throughout the ideation process. We additionally conduct a user study with researchers across diverse disciplines, validating the effectiveness of our system in enhancing ideation. We open-source our code at https://github.com/Anikethh/IRIS-Interactive-Research-Ideation-System

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